Speech recognition method and apparatus using coarse and fine output
probabilities utilizing an unspecified speaker model
    71.
    发明授权
    Speech recognition method and apparatus using coarse and fine output probabilities utilizing an unspecified speaker model 失效
    使用未指定说话者模型的粗略和精细输出概率的语音识别方法和装置

    公开(公告)号:US6108628A

    公开(公告)日:2000-08-22

    申请号:US931527

    申请日:1997-09-16

    摘要: A high-speed speech recognition method with a high recognition rate, utilizing speaker models, includes the steps of executing an acoustic process on the input speech, calculating a coarse output probability utilizing an unspecified speaker model, and calculating a fine output probability utilizing an unspecified speaker model and clustered speaker models, for the states estimated, by the result of coarse calculation, to contribute to the results of recognition. Candidates of recognition are then extracted by a common language search based on the obtained result, and a fine language search is conducted on the thus extracted candidates to determine the result of recognition.

    摘要翻译: 利用扬声器模型,具有高识别率的高速语音识别方法包括以下步骤:对输入语音执行声学处理,使用未指定的说话者模型计算粗略输出概率,并利用未指定的方式计算精细输出概率 扬声器模型和集群扬声器模型,对于通过粗略计算的结果估计的状态,有助于识别结果。 然后通过基于获得的结果的公共语言搜索来提取识别候选者,并且对这样提取的候选进行精细语言搜索以确定识别结果。

    Sheet pack
    72.
    发明授权
    Sheet pack 失效
    纸包装

    公开(公告)号:US6042844A

    公开(公告)日:2000-03-28

    申请号:US817648

    申请日:1997-09-26

    摘要: A sheet pack having a multi-layer moisture-permeable support including a hydrophobic layer and a hydrophilic layer, and a cosmetic substance, and a method for applying the sheet pack, including the steps of supplying moisture to skin and applying the sheet pack to the moisture-supplied skin.

    摘要翻译: PCT No.PCT / JP97 / 00631 Sec。 371日期:1997年9月26日 102(e)1997年9月26日PCT PCT 1997年2月28日PCT公布。 出版物WO97 / 32567 PCT 日本1997年9月12日具有包含疏水层和亲水层的多层透湿性支撑体和化妆品的片材组合物及其应用方法,包括以下步骤:向皮肤供给水分, 将纸张包装到水分供应的皮肤。

    Speech processing apparatus and method using a noise-adaptive PMC model
    74.
    发明授权
    Speech processing apparatus and method using a noise-adaptive PMC model 失效
    使用噪声自适应PMC模型的语音处理装置和方法

    公开(公告)号:US5956679A

    公开(公告)日:1999-09-21

    申请号:US982385

    申请日:1997-12-02

    摘要: A speech processing apparatus includes a noise model production device for extracting a noise-speech interval from input speech data and producing a noise model by using the data of the extracted interval. The apparatus also includes a composite distribution production device for dividing the distributions of a speech model into a plurality of groups, producing a composite distribution of each group, and determining the positional relationship of each distribution within each group. In addition, the apparatus includes a memory for storing each composite distribution and the positional relationship of each distribution within the group, and a PMC conversion device for PMC-converting each produced composite distribution. Also provided is a noise-adaptive speech model production device for producing a noise-adaptive speech model on the basis of the composite distribution which is PMC-converted by the PMC conversion device and the positional relationship stored by the memory. Further, the apparatus includes an output device for determining and outputting a recognition result and a candidate with their likelihood for the input speech data by using the produced noise-adaptive speech model.

    摘要翻译: 语音处理装置包括噪声模型生成装置,用于从输入语音数据中提取噪声语音间隔,并通过使用所提取的间隔的数据产生噪声模型。 该装置还包括用于将语音模型的分布划分为多个组的复合分发生成装置,产生每个组的复合分布,以及确定每个分组中每个分布的位置关系。 另外,该装置包括用于存储每个复合分布的存储器和组内的每个分布的位置关系,以及PMC转换装置,用于PMC转换每个生成的复合分布。 还提供了一种噪声自适应语音模型生成装置,用于基于由PMC转换装置进行PMC转换的复合分布和由存储器存储的位置关系来产生噪声自适应语音模型。 此外,该装置包括用于通过使用所产生的噪声自适应语音模型来确定和输出识别结果和输入语音数据的可能性的候选者的输出装置。

    Speech recognition method
    75.
    发明授权
    Speech recognition method 失效
    语音识别方法

    公开(公告)号:US5787396A

    公开(公告)日:1998-07-28

    申请号:US529436

    申请日:1995-09-18

    CPC分类号: G10L15/144 G10L15/187

    摘要: A speech recognition method uses continuous mixture Hidden Markov Models (HMM) for probability processing including a first type of HMM having a small number of mixtures and a second type of HMM having a larger number of mixtures. First output probabilities are formed for inputted speech using the small number of mixtures type HMM and second output probabilities are formed for the input speech using the large number of mixtures type HMM for selected states corresponding to the highest output probabilities of the first type HMM. The input speech is recognized from both the first and second output probabilities.

    摘要翻译: 语音识别方法使用连续混合隐马尔可夫模型(HMM)进行概率处理,包括具有少量混合物的第一类型HMM和具有较大数目混合物的第二类型HMM。 使用少数混合型HMM形成用于输入语音的第一输出概率,并且使用对应于第一类型HMM的最高输出概率的选定状态的大量混合型HMM形成用于输入语音的第二输出概率。 从第一和第二输出概率识别输入语音。